Skip to content
#

lightgbm-classifier

Here are 96 public repositories matching this topic...

Transformer-BERT-SMS-Spam-Detection

Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform

  • Updated May 1, 2023
  • Jupyter Notebook

The problem that this case study is dealing with predicts the location that a user is most likely to book for the first time. The accurate prediction helps to decrease the average time required to book by sharing more personalized recommendations and also in better forecasting of the demand. We use the browser’s session data as well as the user’…

  • Updated Mar 30, 2021
  • Jupyter Notebook

Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer

  • Updated Jan 23, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the lightgbm-classifier topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the lightgbm-classifier topic, visit your repo's landing page and select "manage topics."

Learn more